scholarly journals EMT Real-Time Simulation Model of a 2 GW Offshore Renewable Energy Hub Integrating Electrolysers

Energies ◽  
2021 ◽  
Vol 14 (24) ◽  
pp. 8547
Author(s):  
Jane Marchand ◽  
Ajay Shetgaonkar ◽  
Jose Luis Rueda Torres ◽  
Aleksandra Lekic ◽  
Peter Palensky
Keyword(s):  
Wind Speed ◽  
Real Time ◽  
Wind Power ◽  
Power Plants ◽  
Proton Exchange Membrane ◽  
Proton Exchange ◽  
Real Time Simulation ◽  
Energy Hub ◽  
Wind Generators ◽  
Time Simulation

Due to their weak nature, such as low inertia, offshore energy hubs are prone to unprecedented fast dynamic phenomena. This can lead to undesired instability problems. Recent literature, with main focus on onshore systems, suggests that electrolysers could be an attractive option to support wind generators in the mitigation of balancing problems. This paper presents an Electromagnetic Transient (EMT) model for real-time simulation based study of the dynamics of active power and voltage responses of offshore hubs due to wind speed fluctuations. The purpose of this study was to ascertain the ability of an electrolyser to support an offshore energy hub under different scenarios and with different locations of the electrolyser. Two locations of Proton Exchange Membrane (PEM) electrolysers were considered: centralised (at the AC common bus of the hub) or distributed (at the DC link of the wind turbines). Numerical simulations conducted in RSCAD® on a 2 GW offshore hub with 4 × 500 MW wind power plants and 330 or 600 MW PEM electrolysers show that electrolysers can effectively support the mitigation of sudden wind speed variations, irrespective of the location. The distributed location of electrolysers can be beneficial to prevent large spillage of wind power generation during the isolation of faults within the hub.

scholarly journals Modeling and real time simulation of micrograms using RT-lab platform: application in south algerian

2018 ◽  
Vol 7 (2.28) ◽  
pp. 375
Author(s):  
Leila Ghomri ◽  
Sidahmed Khiat ◽  
Mounir Khiat ◽  
Abdelkader Chaker ◽  
Abdelkader Belaidi
Keyword(s):  
Real Time ◽  
Power Flow ◽  
Power Plants ◽  
Wind Farms ◽  
Real Time Simulation ◽  
Time Simulation ◽  
Micro Power ◽  
Grid Operation ◽  
And Storage ◽  
Storage Energy

Microgrids are, as their name implies, real-time networks operating between producers, distributors and consumers. Aim of this work is to model and simulate operation of microgrids, including micro power plants, photovoltaic panels, wind farms, diesel power and storage energy, and finally we will apply the model in real time simulation thanks to MEGASIM of the RT-LAB platform Application of this work will be in southern Algeria area, where climate is hot, sunny and arid, and daytime temperatures are very high. It means that both of wind and photovoltaic energies are widely suitable in this location. Results obtained by this tool will allow us to have a very accurate vision of Micro grid operation, in term of power flow or fault responses.  

scholarly journals Optimal Control and Real-Time Simulation of Hybrid Marine Power Plants

2018 ◽  
Author(s):  
T Q Dinh ◽  
T M N Bui ◽  
J Marco ◽  
C Watts
Keyword(s):  
Optimal Control ◽  
Real Time ◽  
Fuel Consumption ◽  
Power Plants ◽  
Operating Conditions ◽  
Control Logic ◽  
Power Sources ◽  
Real Time Simulation ◽  
Time Simulation ◽  
The Future

With significantly increasing concerns about greenhouse effects and sustainable economy, the marine industry presents great potential for reducing its environmental impact. Recent developments in power electronics and hybridisation technologies create new opportunities for innovative marine power plants which utilize both traditional diesel generators and energy storage like batteries and/or supercapacitors as the power sources. However, power management of such complex systems in order to achieve the best efficiency becomes one of the major challenges. Acknowledging this importance, this research aims to develop an optimal control strategy (OCS) for hybrid marine power plants. First, architecture of the researched marine power plant is briefly discussed and a simple plant model is presented. The generator can be used to charge the batteries when the ship works with low power demands. Conversely, this battery energy can be used as an additional power source to drive the propulsion or assist the generators when necessary. In addition, energy losses through braking can be recuperated and stored in the battery for later use. Second, the OCS is developed based on equivalent fuel consumption minimisation (EFCM) approach to manage efficiently the power flow between the power sources. This helps the generators to work at the optimal operating conditions, conserving fuel and lowering emissions. In principle, the EFCM is based on the simple concept that discharging the battery at present is equivalent to a fuel burn in the future and vice-versa and, is suitable for real-time implementation. However, instantaneously regulating the power sources’ demands could affect the system stability as well as the lifetime of the components.  To overcome this drawback and to achieve smooth energy management, the OCS is designed with a number of penalty factors by considering carefully the system states, such as generators’ fuel consumption and dynamics (stop/start and cranking behaviour), battery state of charge and power demands. Moreover, adaptive energy conversion factors are designed using artificial intelligence and integrated in the OCS design to improve the management performance. The system therefore is capable of operating in the highest fuel economy zone and without sacrificing the overall performance. Furthermore, a real-time simulation platform has been developed for the future investigation of the control logic. The effectiveness of the proposed OCS is then verified through numerical simulations with a number of test cases.

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